| Machine learning methods applied to the global modeling of event-driven pitch angle diffusion coefficients during high speed streams G Kluth, JF Ripoll, S Has, A Fischer, M Mougeot, E Camporeale Frontiers in Physics 10, 786639, 2022 | 8 | 2022 |
| KFC: A clusterwise supervised learning procedure based on the aggregation of distances S Has, A Fischer, M Mougeot Journal of Statistical Computation and Simulation 91 (11), 2307-2327, 2021 | 6 | 2021 |
| Exploring pitch-angle diffusion during high speed streams with neural networks JF Ripoll, G Kluth, S Has, A Fischer, M Mougeot, E Camporeale 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC), 1-4, 2022 | 4 | 2022 |
| Consensual Aggregation on Random Projected High-dimensional Features for Regression S Has arXiv preprint arXiv:2204.02606, 2022 | 3 | 2022 |
| Reconstructing balloon‐observed gravity wave momentum fluxes using machine learning and input from ERA5 S Has, R Plougonven, A Fischer, R Rani, F Lott, A Hertzog, A Podglajen, ... Journal of Geophysical Research: Atmospheres 129 (9), e2023JD040281, 2024 | 1 | 2024 |
| Gradient COBRA: A kernel-based consensual aggregation for regression: Kernel-based Aggregation for Regression HAS Sothea Journal of Data Science, Statistics, and Visualisation 3 (2), 2023 | 1 | 2023 |
| Modèles prédictifs par agrégation consensuelle et applications S Has Sorbonne université, 2022 | | 2022 |
| Predictive models by consensual aggregation and applications S Has Sorbonne Université, 2022 | | 2022 |
| Techno-Science Research Journal K Eng, S Phauk, S Has, S Din | | |
